Our framework is implemented by PyTorch [1]}. We use xception [2]} pre-trained on imagenet, including the final fully connected layer, as our RGB branch and feature embedding
of FDFL, which means D in Eq. (REF ) is equal to 1000.
The fusion module is inserted between the entry flow and the middle flow of xception and the face forgery classifier is a simple FC layer with two nodes.
The proposed modules, including the center point of SCL, are all initialized randomly.
More details and hyper-parameters are provided in the supplementary material.
